54 lines
1.3 KiB
Python
54 lines
1.3 KiB
Python
from ahserver.serverenv import ServerEnv
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from appPublic.worker import awaitify
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from appPublic.log import info, debug, warning, error, exception, critical
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from ahserver.globalEnv import get_definition
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import numpy as np
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import base64
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import whisper
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# 编码
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def base64_encode(text):
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text_bytes = text.encode('utf-8')
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encoded_bytes = base64.b64encode(text_bytes)
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encoded_text = encoded_bytes.decode('utf-8')
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return encoded_text
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# 解码
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def base64_decode(encoded_text):
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encoded_bytes = encoded_text.encode('utf-8')
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decoded_bytes = base64.b64decode(encoded_bytes)
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decoded_text = decoded_bytes.decode('utf-8')
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return decoded_text
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class WhisperBase:
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def __init__(self):
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model_name = get_definition('whisper_model')
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self.model = whisper.load_model(model_name)
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def _stt(self, filepath):
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e = Exception(f'{filepath=} WhisperBase can not use')
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exception(f'{e=}')
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raise e
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class WhisperFile(WhisperBase):
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def _stt(self, filepath):
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return self.model.transcribe(filepath)
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stt = awaitify(_stt)
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class WhisperBase64(WhisperBase):
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def _stt(self, audio):
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audiolist = audio.values()
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nparr = np.array(audiolist)
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"""
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raw = base64_decode(audio_base64)
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ndarr = np.frombuffer(raw, dtype=np.float32)
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"""
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info(f'ndarr={nparr}')
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return self.model.transcribe(nparr)
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stt = awaitify(_stt)
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